# Hacker News "Who is Hiring" Jobs Scraper (`seemuapps/hn-who-is-hiring-scraper`) Actor Scrape every job listing from the latest Hacker News monthly Who is Hiring thread. Company, role, location, remote flag, salary, links, and emails for each post. - **URL**: https://apify.com/seemuapps/hn-who-is-hiring-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** AI, Jobs, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 job scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Hacker News "Who is Hiring" Jobs Scraper Extract every job posting from the latest Hacker News monthly "Ask HN: Who is hiring?" thread — company, role, location, remote flag, salary, and contact links in a single run. ### What you get - **Company name and role** parsed from the first line of every top-level comment (the HN convention) - **Location** and a **`isRemote`** flag detected from the post body - **Pipe-separated fields** (e.g. `Company | Role | Location | REMOTE | Salary | Apply`) extracted as a structured array - **Apply URLs** — every link in the post (careers page, job board, ATS, founder Twitter, etc.) - **Emails** — every contact email referenced in the post - **Full plain-text and original HTML** of each posting - **Author, comment URL, and timestamp** so you can link back to the HN comment - Auto-detects the **latest monthly thread** (no need to look up the story ID) ### Use cases - **Job search aggregation** — pipe live YC/HN startup roles into your own job board, Slack, or Notion - **Recruiter sourcing** — surface companies hiring for specific stacks ("Rust", "Elixir", "ML") - **Lead generation** — capture every careers page and recruiter email mentioned in the thread - **Remote job hunting** — filter to remote-only postings in one click - **Hiring trend analysis** — track month-over-month volume by city, stack, or salary range ### How to use 1. (Optional) Paste a specific **HN Story ID** to scrape an older monthly thread; leave empty for the latest 2. (Optional) Toggle **Remote only** to drop in-office postings 3. (Optional) Add a **Keyword filter** like `Rust`, `Python`, `Berlin`, or `Senior` 4. Set **Max Items** (`0` = every posting in the thread) 5. Run the actor — results land in the **Dataset** tab 6. Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console #### Scrape every remote posting from this month ```json { "remoteOnly": true, "maxItems": 0 } ```` #### Scrape Rust roles from a specific historical thread ```json { "storyId": "47975571", "keyword": "Rust" } ``` ### Output format One dataset record per top-level job comment: ```json { "commentId": 47976000, "storyId": 47975571, "storyTitle": "Ask HN: Who is hiring? (May 2026)", "author": "chrisposhka", "createdAt": "2026-05-01T15:00:17.000Z", "createdAtUnix": 1777647617, "text": "Pathos AI | Senior Software / AI Engineer | NYC (hybrid, 3-4 days onsite) | Full-time | $180-200K + equity | VISA\n\nPathos is an oncology biotech...", "textHtml": "Pathos AI | Senior Software / AI Engineer | NYC ...", "commentUrl": "https://news.ycombinator.com/item?id=47976000", "firstLine": "Pathos AI | Senior Software / AI Engineer | NYC (hybrid, 3-4 days onsite) | Full-time | $180-200K + equity | VISA", "isRemote": false, "isHiring": true, "urls": ["https://pathos.com/careers"], "emails": ["jobs@pathos.com"], "pipeParts": [ "Pathos AI", "Senior Software / AI Engineer", "NYC (hybrid, 3-4 days onsite)", "Full-time", "$180-200K + equity", "VISA" ] } ``` ### Parameters | Field | Default | Description | |---|---|---| | **HN Story ID** | *empty* | Specific thread ID (e.g. `47975571`). Leave empty to auto-detect the latest monthly thread | | **Max Items** | `0` | Maximum job comments to return. `0` = all top-level comments | | **Remote only** | `false` | Only return postings that mention REMOTE | | **Keyword filter** | *empty* | Case-insensitive substring filter on the comment body | ### Notes - The HN convention is one company per top-level comment, with the first line typically formatted as `Company | Role | Location | REMOTE/ONSITE | Salary | Apply` - The `pipeParts` array gives you a quick way to slice that convention into spreadsheet columns - Heuristic fields (`isRemote`, `firstLine`, `pipeParts`) are best-effort — some posters break the convention. Use the full `text` field for downstream parsing - Each run hits two free Algolia HN endpoints — no API key required # Actor input Schema ## `storyId` (type: `string`): Specific Hacker News story ID to scrape (e.g. 47975571). Leave empty to auto-detect the most recent 'Ask HN: Who is hiring?' monthly thread. ## `maxItems` (type: `integer`): Maximum number of job comments to return. 0 = all available. ## `remoteOnly` (type: `boolean`): Only return job posts that mention REMOTE. ## `keyword` (type: `string`): Optional case-insensitive substring filter on the comment body (e.g. 'Rust', 'Python', 'Berlin'). Leave empty for no filter. ## Actor input object example ```json { "maxItems": 0, "remoteOnly": false } ``` # Actor output Schema ## `results` (type: `string`): Each record: { commentId, storyId, storyTitle, author, createdAt, createdAtUnix, text, textHtml, commentUrl, firstLine, isRemote, isHiring, urls, emails, pipeParts } # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "storyId": "", "maxItems": 0, "keyword": "" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/hn-who-is-hiring-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "storyId": "", "maxItems": 0, "keyword": "", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/hn-who-is-hiring-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "storyId": "", "maxItems": 0, "keyword": "" }' | apify call seemuapps/hn-who-is-hiring-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/hn-who-is-hiring-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News \"Who is Hiring\" Jobs Scraper", "description": "Scrape every job listing from the latest Hacker News monthly Who is Hiring thread. Company, role, location, remote flag, salary, links, and emails for each post.", "version": "1.0", "x-build-id": "U8dn3KgmfjI2n9U3P" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~hn-who-is-hiring-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~hn-who-is-hiring-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~hn-who-is-hiring-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-hn-who-is-hiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "storyId": { "title": "HN Story ID", "type": "string", "description": "Specific Hacker News story ID to scrape (e.g. 47975571). Leave empty to auto-detect the most recent 'Ask HN: Who is hiring?' monthly thread." }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of job comments to return. 0 = all available.", "default": 0 }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Only return job posts that mention REMOTE.", "default": false }, "keyword": { "title": "Keyword filter", "type": "string", "description": "Optional case-insensitive substring filter on the comment body (e.g. 'Rust', 'Python', 'Berlin'). Leave empty for no filter." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```